Thanks Astounding.
I made the change (just replaced price with price_) but I'm still getting errors in the log. If you run the code below do you get errors?
data have;
infile datalines;
input Year Month $ Week Day Price;
datalines;
2015 Jan 1 1 98
2015 Jan 1 2 87
2015 Jan 1 3 86
2015 Jan 1 4 86
2015 Jan 1 5 86
2015 Jan 1 6 87
2015 Jan 1 7 88
;
run;
proc transpose data=have prefix=price_ out=want;
by year month week;
var price;
run;
data want;
set want;
array price_ {*};
do i=1 to dim(price_) - 1;
do j=i+1 to dim(price_);
max_change = max(max_change, price_{j} / price_{i} - 1);
end;
end;
run;
OK, let's try this additional change:
array price_ {*} price_: ;
Create array of price change combinations
This is best done in IML or R.
In order to print the max on the first record I had to load a two dimesional array and
find the max of all elements and then load load and output a seven element
array
redirect to this message
https://goo.gl/6gxqsO
https://communities.sas.com/t5/Base-SAS-Programming/Create-array-of-price-change-combinations/m-p/347274
HAVE
====
Up to 40 obs WORK.HAVE total obs=7
Obs DAY PRICE
1 1 100.0
2 2 101.5
3 3 103.0
4 4 104.5
5 5 106.0
6 6 107.5
7 7 109.0
WANT
====
DETAILS
DAY1 PCT2 = 100*(Price[2]/Price[1] - 1) ... PCT7=100*(Price[7]/Price[1] - 1)
..
DAY6 PCT7 = 100*(Price[7]/Price[6] - 1) 100*(109/107.5 - 1) = 1.3953488372
*
___ __ _ ___
/ __|/ _` / __|
\__ \ (_| \__ \
|___/\__,_|___/
;
DAY BASE PCT1 PCT2 PCT3 PCT4 PCT5 PCT6 PCT7 MAX
1.0 100.0 . 1.5 3.0 4.5 6.0 7.5 9.0 9.0
2.0 101.5 . . 1.5 3.0 4.4 5.9 7.4 .
3.0 103.0 . . . 1.5 2.9 4.4 5.8 .
4.0 104.5 . . . . 1.4 2.9 4.3 .
5.0 106.0 . . . . . 1.4 2.8 .
6.0 107.5 . . . . . . 1.4 . PCT7 =100*(109/107.5 - 1) = 1.3953488372
* ____
__ ___ __ ___ | _ \
\ \ /\ / / '_ \/ __|_____| |_) |
\ V V /| |_) \__ \_____| _ <
\_/\_/ | .__/|___/ |_| \_\
|_|
;
40 obs WORK.WANT total obs=6
Obs DAY PRICE PCT2 PCT3 PCT4 PCT5 PCT6 PCT7 MAX
1 1.0 100.0 1.5 3.0 4.5 6.0 7.5 9.0 9.0
2 2.0 101.5 . 1.5 3.0 4.4 5.9 7.4 .
3 3.0 103.0 . . 1.5 2.9 4.4 5.8 .
4 4.0 104.5 . . . 1.4 2.9 4.3 .
5 5.0 106.0 . . . . 1.4 2.8 .
6 6.0 107.5 . . . . . 1.4 .
FULL SOLUTION
=============
* _ _ _
_ __ ___ __ _| | _____ __| | __ _| |_ __ _
| '_ ` _ \ / _` | |/ / _ \_____ / _` |/ _` | __/ _` |
| | | | | | (_| | < __/_____| (_| | (_| | || (_| |
|_| |_| |_|\__,_|_|\_\___| \__,_|\__,_|\__\__,_|
;
options validvarname=upcase;
libname sd1 "d:/sd1";
data sd1.have;
retain day price;
input Price;
day=_n_;
cards4;
100
101.5
103
104.5
106
107.5
109
;;;;
run;quit;
*_ ______ ____ ____
\ \ / / _ \/ ___| | _ \
\ \ /\ / /| |_) \___ \ _____| |_) |
\ V V / | __/ ___) |_____| _ <
\_/\_/ |_| |____/ |_| \_\
;
%utl_submit_wps64('
libname sd1 "d:/sd1";
options set=R_HOME "C:/Program Files/R/R-3.3.2";
libname wrk "%sysfunc(pathname(work))";
libname hlp "C:\Program Files\SASHome\SASFoundation\9.4\core\sashelp";
proc r;
submit;
source("C:/Program Files/R/R-3.3.2/etc/Rprofile.site", echo=T);
library(haven);
have<-t(read_sas("d:/sd1/have.sas7bdat")[,2]);
mat=have[rep(seq_len(nrow(have)), each=6),];
bas<-cbind(have[1:6],mat);
fin<-100*(bas[,2:8]/bas[,1] - 1);
fin[lower.tri(fin)] <- NA;
fin[ row(fin) == col(fin) ] <- NA;
fin[1,1]<-max(fin,na.rm = TRUE);
endsubmit;
import r=fin data=wrk.fin;
run;quit;
');
data want;
retain day price pct2-pct7 max;
merge sd1.have(obs=6) fin(rename=(v2-v7=pct2-pct7 v1=max));
run;quit;
proc print data=want width=min;
format _numeric_ 8.1;
run;quit;
* _ _ _
___ ___ | |_ _| |_(_) ___ _ __
/ __|/ _ \| | | | | __| |/ _ \| '_ \
\__ \ (_) | | |_| | |_| | (_) | | | |
|___/\___/|_|\__,_|\__|_|\___/|_| |_|
;
%symdel obs /nowarn;
libname sd1 "d:/sd1";
data want;
retain day base maxfin;
if _n_=0 then do;
rc=%sysfunc(dosubl('proc sql noprint;select count(*) into :obs separated by "" from sd1.have;quit;'));
end;
do rec=1 to &obs;
array pry[&obs] jan1-jan&obs;
array pct[&obs] pct1-pct&obs;
array fin[&obs,&obs] fin1-fin%eval(%eval(&obs * &obs));
set sd1.have;
pry[rec]=price;
end;
do day=1 to &obs - 1;
do mat=day+1 to &obs;
fin[day,mat]=100*pry[mat]/pry[day] -100;
base=pry[day];
end;
end;
maxfin=max(of fin[*]);
put maxfin=;
do day=1 to &obs - 1;
do mat=1 to &obs;
fins+1;
pct[mat]=fin[day,mat];
end;
if day ne 1 then maxfin=.;
output;
end;
keep day base pct: maxfin;
run;quit;
proc print data=want width=min;
format _numeric_ 8.1;
run;quit;
you really should take on IML code. It is very easy for IML. data have; infile datalines; input Year Month $ Week Day Price; datalines; 2015 Jan 1 1 100 2015 Jan 1 2 101.5 2015 Jan 1 3 103 2015 Jan 1 4 104.5 2015 Jan 1 5 106 2015 Jan 1 6 107.5 2015 Jan 1 7 109 ; run; proc iml; use have; read all var{price}; lag=lag(price,1:nrow(price)-1); dif=dif(price,1:nrow(price)-1); d=dif/lag; w=j(nrow(d)-1,ncol(d),.); do i=1 to ncol(d); w[1:nrow(d)-i,i]=d[i+1:nrow(d),i]; end; want=j(nrow(d)-1,ncol(d),.); do i=1 to nrow(w); want[i,i:ncol(d)]=w[i,1:(ncol(d)-i+1)]; end; create temp from want; append from want; close; quit; data want; merge have temp; max=max(of col:); run; proc print;run;
I would but I don't have the SAS/IML package. This code doesn't work on my 9.3 SAS version.
@Ksharp The op seems unable to describe the process or the result in non-speadsheet terms. This is a continuation of https://communities.sas.com/t5/Base-SAS-Programming/Max-price-change-within-interval-i-e-30-days-or-...
I thought I described it quite clearly. I don't think your comment helps.
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.